资源列表
梯度算法比较
- 梯度算法比较 结构元素尺度为 3*3，形状为菱形 结构元素为3*3，方向分别为0，90，45，135的线形 多尺度结构元素3*3 5*5 7*7，菱形 多尺度结构元素3*3 5*5 7*7，线形4个方向
波束形成算法LMS的源码
- 波束形成算法LMS的源码
capon
- 关于波束形成算法中一种数值算法的源码
lcmv经典算法
- 最小均方误差算法（lcmv）在波束形成算法中的仿真
java based CRF implementation
- java based CRF implementation
表达式计算（加减乘除与或非及括号）C语言
- 参考书c语言版得严蔚敏的数据结构 利用堆栈实现根据表达式运算符优先级比较完成正确的计算 程序设计有运算符优先级表可以自己设定运算符优先级
矩阵优化算法_new
- C++的矩阵优化算法，具有较高的效率
退火算法工具箱_new
- matlab的退火算法工具箱，功能相当强大
CSNN
- This package contains 6 algorithms for training cost-sensitive neural networks. They are over-sampling, under-sampling, threshold-moving, SMOTE and two ensemble methods, i.e. hard-ensemble and soft-ensemble.
EasyEnsemble
- EasyEnsemble and BalanceCascade are two class-imbalance learning methods. They can adaptively exploit the majority class examples, avoiding important majority class examples to be ignored by common under-sampling while maintaining the fast training s
mcKLR_mckNN
- This package includes two approaches to multi-class cost-sensitive learning, that is, mcKLR and mckNN. The descr iption of mcKLR can be found in our TPAMI paper and CVPR'08 paper; the descr iption of mckNN can be found in our TPAMI paper. Both approa
CS4VM
- CS4VM is a package for efficient cost-sensitive semi-supervised learning. The package includes the MATLAB code of the algorithm CS4VM.